276 citations
- University of Science and Technology of ChinaCN33 papers
- Chinese Academy of SciencesCN15 papers
- Institute of Theoretical PhysicsCN11 papers
- University of Chinese Academy of SciencesCN11 papers
- Hefei National Center for Physical Sciences at NanoscaleCN9 papers
- Fuzhou UniversityCN8 papers
- Monash UniversityAU8 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Shanghai Research Center for Quantum SciencesCN5 papers
- Rutgers, The State University of New JerseyUS4 papers
- Wuyi UniversityCN4 papers
6 papers · 2 filters
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Gang Xu, Shuhao Wang, Lingyu Zhao +12
Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-i…
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang, Jiawei Wu, Tao Wang +2
Despite the success of deep neural networks in medical image classification, the problem remains challenging as data annotation is time-consuming, and the class distribution is imb…
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang, Zhongzheng Huang, Jiawei Wu +2
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…
Spatio-Temporal Context Modeling for Road Obstacle Detection
Xiuen Wu, Tao Wang, Lingyu Liang +2
Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on spatio-temporal context modeling…
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang, Tao Wang, Yuanzheng Cai +1
The automatic detection of skin diseases via dermoscopic images can improve the efficiency in diagnosis and help doctors make more accurate judgments. However, conventional skin di…
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking
Jinyang Wang, Tao Wang, Min Gan +1
Deep convolutional neural networks have been widely used in scene classification of remotely sensed images. In this work, we propose a robust learning method for the task that is s…